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To determine the impact of a healthy food and drink policy on hospital staff and visitors’ food purchasing behaviours, and their awareness and support for the changes introduced.
Design:
Two repeated cross-sectional surveys, consisting of intercept interviews and observations of food items purchased, were conducted before (March–July 2018) and after (April–June 2019) the target date for implementation of thirteen food and drink practices (31 December 2018). Food purchases were coded as ‘Everyday’ (healthy) or ‘Occasional’ (unhealthy).
Setting:
Ten randomly selected New South Wales public hospitals, collection sites including hospital entrances and thirteen hospital cafés/cafeterias.
Participants:
Surveys were completed by 4808 hospital staff and visitors (response rate 85 %). The majority were female (63 %), spoke English at home (85 %) and just over half had completed tertiary education (55 %).
Results:
Significant increases from before to after the implementation target date were found for policy awareness (23 to 42 %; P < 0·0001) and support (89 to 92 %; P = 0·01). The proportion of ‘Everyday’ food purchases increased, but not significantly (56 to 59 %; P = 0·22); with significant heterogeneity between outlets (P = 0·0008). Overall, younger, non-tertiary-educated adults, visitors and those that spoke English at home were significantly less likely to purchase ‘Everyday’ food items. Support was also significantly lower in males.
Conclusions:
The findings provide evidence of strong policy support, an increasing awareness of related changes and a trend towards increased ‘Everyday’ food purchasing. Given the relatively early phase of policy implementation, and the complexity of individual food purchasing decisions, longer-term follow-up of purchasing behaviour is recommended following ongoing implementation efforts.
To determine the prevalence and sociodemographic factors associated with food insecurity in the state of New South Wales (NSW), Australia.
Design:
Cross-sectional analysis of food insecurity data collected by the NSW Population Health Survey between 2003 and 2014. Multiple logistic regression was used to examine associations with key sociodemographic variables.
Setting:
NSW, Australia.
Participants:
212 608 survey participants responded to the food insecurity survey question between 2003 and 2014. 150 767 of them were aged ≥16 years. The survey sample was randomly selected and weighted to be representative of the NSW population.
Results:
On average 6 % of adults aged ≥16 years experienced food insecurity in NSW. The odds of food insecurity appeared to increase from one survey year to the next by a factor of 1·05. Food insecurity was found to be independently associated with age, sex, marital status, household size, education, employment status, household income, smoking status, alcohol intake and self-rated health. The association with income, smoking status and self-rated health appeared to be the strongest among all covariates and showed a gradient effect. Food insecurity appeared to increase significantly between the age of 16 and 19 years.
Conclusions:
The prevalence of food insecurity appears to be rising over time. Given the negative health consequences of food insecurity, more rigorous measurement and monitoring of food insecurity in NSW and nationally is strongly recommended. The findings provide support for interventions targeting low-income and younger population groups.
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